A Low-Cost Solution for Assets Location Tracking Based on LoRaWAN Networks

Ricardo F. Severino, Antonio Serrador, Nuno Datia, Rogerio Campos-Rebelo, José Machado

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a cost-effective solution for vertical asset tracking designed to reduce Capital Expenditure (CAPEX) and Operational Expenditure costs (OPEX) by accommodating a certain tolerance level for geolocation precision. The collaborative effort between academia and industry, initiated by the partnership between Lisbon School of Engineering and CTT, aims to track small cargo postal containers in postal carrier operations. To meet the cost requirements, the authors emphasise affordable container devices in terms of CAPEX and OPEX. To achieve this, the proposed approach suggests using LoRaWAN devices without integrating the Global Navigation Satellite System or Global System for Mobile Communications. This lowers device complexity, battery consumption and avoids telecommunication fees from cellular operators. However, successfully implementing the solution entails developing and evaluating an asset location and tracking infrastructure. The study introduces tailored algorithms and strategies, yielding promising results with geolocation algorithms achieving a precision of 92.7%, with a median distance deviation of approximately 1 km.
Original languageEnglish
Title of host publication2023 IEEE World Forum on Internet of Things
Subtitle of host publicationThe Blue Planet: A Marriage of Sea and Space, WF-IoT 2023
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages8
ISBN (Electronic)979-8-3503-1161-7
ISBN (Print)979-8-3503-1162-4
DOIs
Publication statusPublished - 2023
Event9th IEEE World Forum on Internet of Things, WF-IoT 2023 - Hybrid, Aveiro, Portugal
Duration: 12 Oct 202327 Oct 2023

Conference

Conference9th IEEE World Forum on Internet of Things, WF-IoT 2023
Country/TerritoryPortugal
CityHybrid, Aveiro
Period12/10/2327/10/23

Keywords

  • Geolocation
  • IoT
  • LoRaWAN
  • RSSI-based algorithm
  • Tracking
  • Trilateration

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